Stop
High risk fitting BSEP/MDR3 binding pockets
- High lipophilicity
- Planar hydrophobic surface
- 4 aromatic rings
A leading cause of failure.
Unexpected toxicity should not decide which medicines reach patients.
Better early decisions, safer medicines.
Predict, explain, and fix drug toxicity early before it derails late-stage development.
The largest experimental-to-clinical dataset.
We did the lab work: tens of thousands of molecules profiled across exposure, cell biology, and metabolism all linked to human clinical outcomes and mechanisms.
Agentic intelligence that translates data to human outcomes.
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Personalized next steps to engineer out toxicity and advance great medicines.
Advance
Reduced off-target binding risks
- Lower lipophilicity
- Higher 3D character
- Greater rotational freedom
Research
Learn more about our work
08/2026 Technical Summary
06/2026 Model Card
03/2026 Technical Report
A Better Proxy Than the Rat and Dog
Using AI to Combine Exposure, Metabolism, and Liver Function to Model DILI in Modern Molecules
Cell Painting for cytotoxicity and mode-of-action analysis in primary human hepatocytes
Counting cells can accurately predict small-molecule bioactivity benchmarks
